code: def create_and_check_transfo_xl_for_sequence_classification(
      self, config, input_ids_1, input_ids_2, lm_labels
  ):
      model = TFTransfoXLForSequenceClassification(config)
      result = model(input_ids_1)
      self.parent.assertEqual(
          result.logits.shape, (self.batch_size, self.num_labels)
      )
  
imports: import random
  import unittest
  from transformers import TransfoXLConfig, is_tf_available
  from transformers.testing_utils import require_tf, slow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor
label_desc: Use image node_id 6 for calling the TFTransfoXLModelTester obj's underlying member method code with example usage: obj.create_and_check_transfo_xl_for_sequence_classification(config, input_ids_1, input_ids_2, lm_labels) without return types